"Impact of COVID-19 research: a study on predicting influential scholarly ..."

Gollam Rabby et al. (2023)

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DOI: 10.1186/S13326-023-00298-4

access: open

type: Journal Article

metadata version: 2024-01-03

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  - https://dblp.org/rec/journals/biomedsem/RabbyDODSA23
Gollam Rabby, Jennifer D'Souza, Allard Oelen, Lucie Dvorackova, Vojtech Svátek, Sören Auer:
Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph. J. Biomed. Semant. 14(1): 18 (2023)

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